Modeling of hydration reactions using neural networks to predict the average properties of cement paste

Decalcification of cement mortars: Characterisation and modelling

“…Previous results [29] allows us to apply the shrinking unreacted-core model (SCM), proposed by Hinsenveld and Bishop [67,68] to our samples. This model has been used by many authors to describe leaching degradation in cementitious materials [76][77][78], carbonation [70] or even the hydration of cementitious materials [79]. Under such scheme we can ideally assume the decalcified mortar as a composite biphasic material The first phase is an outer degraded zone (D), with a given average thicknessê D and an average ultrasonic velocity b V D ; the second phase is an inner sound zone (U) with a given average thicknessê U and an average ultrasonic velocity b V U , assumed to be equal to b V 0 , the average ultrasonic velocity of the native material.…”

Effect of fly ash on the kinetics of Portland cement hydration at different curing temperatures

“…This could increase the relative errors of the XRDRietveld analysis of the low-content components such as C 3 A, and C 4 AF [13]. Although there are some studies reported the interactions among the hydration of individual cement components [14][15], these interactions have not been quantitatively established and the mechanisms of these interactions are not well understood.…”

“…The shrinking-core model, which was originally developed by Tomosawa [17] and modified in [3][4][5], is used in this study to simulate the development of cement hydration. This model is expressed as a single equation consisting of three coefficients: d k the reaction coefficient in the induction period; e D the effective diffusion coefficient of water through the C-S-H gel; and r k a coefficient of the reaction rate of cement as shown in Eq.…”

“…For ordinary Portland cement paste, Park [3][4] and Maruyama [5] have demonstrated the use of this model to simulate the hydration of cement in general and of the different cement components. Results showed good agreement between the model simulations and the experimental data.…”

Modeling The Microstructure Of Slag Blended Cements Using Artificial Neural Network

“…techniques has divided these into two categories, direct and Recently, some researches on the artificial neural network (ANN) in data processing are introduced in the field of durability and they are very efficient compared with simple regression method obtained from experimental data [3]. In area of research on concrete, a neural network technique is mainly applied to mixture design [4,5], strength evaluation [6,7] and reaction of hydration [8].…”